Objective evaluation of the relationship between facial expression analysis by the facial action coding system (FACS) and CT/MRI analyses of the facial expression muscles.

Background: There are few reports on the relationship between facial expression formation and mass of the muscle responsible for facial expression. We analyzed the facial expression using facial action coding system (FACS) and examined the muscle mass and characteristics of the facial expression muscles using multi-detector row computed tomography (MDCT) and magnetic resonance imaging (MRI). Moreover, the relation between these was statistically evaluated.

A combined near-infrared diffuse reflectance spectroscopy and principal component analysis method of assessment for the degree of photoaging and physiological aging of human skin.

The phenomenon of skin aging may be categorized broadly into photoaging caused by exogenous factors and physiological aging induced by endogenous factors. A near-infrared diffuse reflectance (NIR-DR) spectroscopy method was recently proposed for non-invasive evaluation of changes that occur within the skin of hairless mice that were divided into an ultraviolet-B (UVB)-irradiated group (photoaging) and a non-irradiated group (physiological aging). In the present study, a non-invasive method to assess changes in human skin was developed and tested.

A noninvasive method for assessing interior skin damage caused by chronological aging and photoaging based on near-infrared diffuse reflection spectroscopy.

This paper reports a noninvasive method for evaluating skin aging based on near-infrared diffuse reflectance (NIR-DR) spectroscopy. Skin aging can be attributed to photoaging and chronological aging. Both types of aging are heavily involved in the skin changes that occur as we get older, for example, wrinkles or sagging skin.

Evaluation of physical properties of human hair by diffuse reflectance near-infrared spectroscopy.

The objective of the present study is to develop a novel nondestructive, simple, and quick method to evaluate the friction, twist, and gloss of human hair based on near-infrared diffuse reflectance (NIR-DR) spectroscopy and chemometrics. NIR-DR spectra were measured for human hair, which was collected from eleven Japanese women (age 5-44 years), by use of an optical fiber probe. Partial least squares (PLS) regression has been applied to the NIR-DR spectra of human hair after mean centering (MC), standard normal variate (SNV), and first derivative (1d) or second derivative (2d) analysis to develop calibration models that predict the friction, twist, and gloss of human hair.